A system called a uses two techniques called user-based and item-based collaborative filtering. recommender system Naive Bayes unsupervised learning reorder performance QUESTION 9 A is a type of interval statistic for a population parameter. confidence interval mixed interval null Hypothesis 85% confidence QUESTION 10 filtering finds the similarities between items and then find a new recommendation for a user. Item-based collaborative User-based collaborative Standard search sensing and monitoring recommendations